Integration
Connect Open Science Framework to DocsBot AI
When New comment fires in Open Science Framework, your agent runs Add lead in DocsBot AI. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Open Science Framework and DocsBot AI to do together?
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Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.
Set it up in your client
Claude Code
Run this in the directory you want to work in.
claude mcp add --transport http -s project apiant-ai https://mcp.apiant.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)Claude, web and desktop
Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.
Setup guide (opens in a new tab)Cursor
Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.
Setup guide (opens in a new tab)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)Codex and the ChatGPT desktop app
Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.
Setup guide (opens in a new tab)Any other MCP client
Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.
Setup guide (opens in a new tab)Example flows
What Open Science Framework can start in DocsBot AI
When New comment in Open Science Framework
then Add lead in DocsBot AI
Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.
Everything your agent can do with Open Science Framework and DocsBot AI
Triggers and actions 3 triggers · 32 actions
- New comment
Polling trigger that fires when a new comment is added to an OSF project.
- New preprint
Polling trigger that fires when a new OSF preprint is created.
- New registration
Polling trigger that fires when a new OSF registration is created.
- Get collection
Retrieve a single OSF collection.
- Get contributor
Retrieve a single contributor on an OSF project.
- Get file
Retrieve metadata for a single OSF file.
- Get preprint
Retrieve a single OSF preprint.
- Get project
Retrieve a single OSF project by id.
- Get registration
Retrieve a single OSF registration.
- Get resource
Retrieve a single OSF outcome resource.
- Get user
Retrieve a single OSF user.
- Get wiki page
Retrieve a single OSF wiki page.
- List collections
List OSF collections.
- List comments
List comments on an OSF project.
- List contributors
List the contributors on an OSF project.
- List preprints
List OSF preprints.
- List project files
List the files stored in an OSF project.
- List projects
List OSF projects (nodes) visible to the user.
- List registrations
List OSF registrations.
- List resources
List OSF outcome resources.
- List users
List OSF users.
- List wiki pages
List the wiki pages on an OSF project.
- Add bot
Creates a new DocsBot bot in a team, optionally copying sources from an existing bot.
- Add lead
Captures or updates a lead for a DocsBot conversation, merging the supplied contact details (email, name, company and so on) into the lead record.
- Add source
Creates a new training source (URL, sitemap, document, Q&A and more) on a DocsBot bot.
- Ask Question (Legacy)
Asks a DocsBot bot a question using the legacy Chat API and returns the answer, its sources and the updated chat history.
- Chat Agent Message (Recommended)
Sends a message to a DocsBot bot in a stateful conversation and returns the agent's answer, sources and conversation history.
- Create Web Source
Adds a web-based training source (a page URL, sitemap, RSS feed or YouTube video) to a DocsBot bot and returns the created source.
- Delete bot
Permanently deletes a bot from a DocsBot team.
- Delete lead
Deletes one captured lead record from a DocsBot bot.
- Delete source
Deletes a training source from a DocsBot bot. The source may still appear in chat answers for a few minutes afterwards.
- Get bot
Returns one DocsBot bot with its settings, model, status and source counts.
- List bots
Returns the bots in a DocsBot team, optionally filtered by text or privacy and sorted.
- Semantic Search
Searches a bot's trained content and returns the most relevant source chunks for a natural-language query.
- Update bot
Updates the settings of an existing DocsBot bot, such as its name, description, prompt, model, privacy and widget appearance. Only the fields you fill in are changed.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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Questions
Open Science Framework and DocsBot AI, answered
What can start an automation from Open Science Framework?
Any of Open Science Framework's 3 triggers in the catalog, including New comment, New preprint and New registration. Describe the moment in plain language and your agent picks the right one.
What can your agent do in DocsBot AI when something happens in Open Science Framework?
Any of DocsBot AI's 13 actions, including Create Web Source, Update bot, Add bot and Add lead. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from DocsBot AI to Open Science Framework?
DocsBot AI has no triggers in the catalog today, so automations start in Open Science Framework. If you need the other direction, ask: your agent reads DocsBot AI's API documentation and adds it.
Do I have to build a connector for Open Science Framework or DocsBot AI?
No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.
What happens when something fails?
Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.
Is there a free plan?
Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.